Dataset statistics
| Number of variables | 10 |
|---|---|
| Number of observations | 226537 |
| Missing cells | 455568 |
| Missing cells (%) | 20.1% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 17.3 MiB |
| Average record size in memory | 80.0 B |
Variable types
| Numeric | 10 |
|---|
wime_komfort is highly correlated with df_index and 8 other fields | High correlation |
wime_sauberkeit is highly correlated with wime_personal and 6 other fields | High correlation |
wime_platzangebot is highly correlated with wime_personal and 6 other fields | High correlation |
wime_gesamtzuf is highly correlated with wime_personal and 7 other fields | High correlation |
wime_preis_leistung is highly correlated with df_index and 6 other fields | High correlation |
wime_personal is highly correlated with wime_komfort and 7 other fields | High correlation |
wime_puenktlich is highly correlated with wime_personal and 4 other fields | High correlation |
wime_fahrplan is highly correlated with wime_personal and 6 other fields | High correlation |
df_index is highly correlated with wime_komfort and 1 other fields | High correlation |
wime_oes_fahrt is highly correlated with wime_personal and 3 other fields | High correlation |
wime_personal has 149074 (65.8%) missing values | Missing |
wime_komfort has 50395 (22.2%) missing values | Missing |
wime_sauberkeit has 47232 (20.8%) missing values | Missing |
wime_puenktlich has 46621 (20.6%) missing values | Missing |
wime_platzangebot has 45836 (20.2%) missing values | Missing |
wime_gesamtzuf has 38474 (17.0%) missing values | Missing |
wime_preis_leistung has 15301 (6.8%) missing values | Missing |
wime_fahrplan has 8190 (3.6%) missing values | Missing |
wime_oes_fahrt has 54445 (24.0%) missing values | Missing |
df_index has unique values | Unique |
wime_komfort has 2918 (1.3%) zeros | Zeros |
wime_puenktlich has 4598 (2.0%) zeros | Zeros |
wime_platzangebot has 6262 (2.8%) zeros | Zeros |
wime_preis_leistung has 6364 (2.8%) zeros | Zeros |
wime_fahrplan has 5237 (2.3%) zeros | Zeros |
Reproduction
| Analysis started | 2022-11-22 17:30:56.545845 |
|---|---|
| Analysis finished | 2022-11-22 17:31:22.646434 |
| Duration | 26.1 seconds |
| Software version | pandas-profiling v3.4.0 |
| Download configuration | config.json |
| Distinct | 226537 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 113441.2574 |
| Minimum | 0 |
|---|---|
| Maximum | 229488 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 11499.8 |
| Q1 | 56807 |
| median | 113441 |
| Q3 | 170075 |
| 95-th percentile | 215382.2 |
| Maximum | 229488 |
| Range | 229488 |
| Interquartile range (IQR) | 113268 |
Descriptive statistics
| Standard deviation | 65397.92223 |
|---|---|
| Coefficient of variation (CV) | 0.576491514 |
| Kurtosis | -1.199839849 |
| Mean | 113441.2574 |
| Median Absolute Deviation (MAD) | 56634 |
| Skewness | 2.43676751 × 10-5 |
| Sum | 2.569864213 × 1010 |
| Variance | 4276888232 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 226335 | 1 | < 0.1% |
| 75813 | 1 | < 0.1% |
| 75844 | 1 | < 0.1% |
| 75846 | 1 | < 0.1% |
| 75827 | 1 | < 0.1% |
| 75826 | 1 | < 0.1% |
| 75825 | 1 | < 0.1% |
| 75824 | 1 | < 0.1% |
| 75808 | 1 | < 0.1% |
| 75809 | 1 | < 0.1% |
| Other values (226527) | 226527 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 |
| Value | Count | Frequency (%) |
| 229488 | 1 | |
| 229345 | 1 | |
| 229287 | 1 | |
| 228803 | 1 | |
| 228738 | 1 | |
| 228717 | 1 | |
| 228687 | 1 | |
| 228498 | 1 | |
| 228420 | 1 | |
| 228400 | 1 |
| Distinct | 13 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 149074 |
| Missing (%) | 65.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 89.87376769 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 688 |
| Zeros (%) | 0.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 50 |
| Q1 | 77.77777778 |
| median | 100 |
| Q3 | 100 |
| 95-th percentile | 100 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 22.22222222 |
Descriptive statistics
| Standard deviation | 17.83286506 |
|---|---|
| Coefficient of variation (CV) | 0.198421247 |
| Kurtosis | 6.721953352 |
| Mean | 89.87376769 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -2.361162011 |
| Sum | 6961891.667 |
| Variance | 318.0110763 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 100 | 50819 | 22.4% |
| 75 | 9400 | 4.1% |
| 88.88888889 | 5367 | 2.4% |
| 77.77777778 | 4839 | 2.1% |
| 66.66666667 | 1877 | 0.8% |
| 50 | 1711 | 0.8% |
| 44.44444444 | 885 | 0.4% |
| 55.55555556 | 817 | 0.4% |
| 0 | 688 | 0.3% |
| 25 | 431 | 0.2% |
| Other values (3) | 629 | 0.3% |
| (Missing) | 149074 |
| Value | Count | Frequency (%) |
| 0 | 688 | 0.3% |
| 11.11111111 | 138 | 0.1% |
| 22.22222222 | 227 | 0.1% |
| 25 | 431 | 0.2% |
| 33.33333333 | 264 | 0.1% |
| 44.44444444 | 885 | 0.4% |
| 50 | 1711 | 0.8% |
| 55.55555556 | 817 | 0.4% |
| 66.66666667 | 1877 | 0.8% |
| 75 | 9400 |
| Value | Count | Frequency (%) |
| 100 | 50819 | |
| 88.88888889 | 5367 | 2.4% |
| 77.77777778 | 4839 | 2.1% |
| 75 | 9400 | 4.1% |
| 66.66666667 | 1877 | 0.8% |
| 55.55555556 | 817 | 0.4% |
| 50 | 1711 | 0.8% |
| 44.44444444 | 885 | 0.4% |
| 33.33333333 | 264 | 0.1% |
| 25 | 431 | 0.2% |
| Distinct | 13 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 50395 |
| Missing (%) | 22.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 78.91358803 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 2918 |
| Zeros (%) | 1.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 33.33333333 |
| Q1 | 75 |
| median | 77.77777778 |
| Q3 | 100 |
| 95-th percentile | 100 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 25 |
Descriptive statistics
| Standard deviation | 22.84215857 |
|---|---|
| Coefficient of variation (CV) | 0.2894578632 |
| Kurtosis | 1.473248838 |
| Mean | 78.91358803 |
| Median Absolute Deviation (MAD) | 22.22222222 |
| Skewness | -1.241285089 |
| Sum | 13899997.22 |
| Variance | 521.7642082 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 100 | 67219 | |
| 75 | 36387 | |
| 77.77777778 | 17438 | 7.7% |
| 88.88888889 | 12623 | 5.6% |
| 66.66666667 | 10817 | 4.8% |
| 50 | 10106 | 4.5% |
| 55.55555556 | 5996 | 2.6% |
| 44.44444444 | 4845 | 2.1% |
| 0 | 2918 | 1.3% |
| 25 | 2750 | 1.2% |
| Other values (3) | 5043 | 2.2% |
| (Missing) | 50395 |
| Value | Count | Frequency (%) |
| 0 | 2918 | 1.3% |
| 11.11111111 | 1002 | 0.4% |
| 22.22222222 | 1685 | 0.7% |
| 25 | 2750 | 1.2% |
| 33.33333333 | 2356 | 1.0% |
| 44.44444444 | 4845 | 2.1% |
| 50 | 10106 | 4.5% |
| 55.55555556 | 5996 | 2.6% |
| 66.66666667 | 10817 | 4.8% |
| 75 | 36387 |
| Value | Count | Frequency (%) |
| 100 | 67219 | |
| 88.88888889 | 12623 | 5.6% |
| 77.77777778 | 17438 | 7.7% |
| 75 | 36387 | |
| 66.66666667 | 10817 | 4.8% |
| 55.55555556 | 5996 | 2.6% |
| 50 | 10106 | 4.5% |
| 44.44444444 | 4845 | 2.1% |
| 33.33333333 | 2356 | 1.0% |
| 25 | 2750 | 1.2% |
| Distinct | 13 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 47232 |
| Missing (%) | 20.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 79.30538902 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 1583 |
| Zeros (%) | 0.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 44.44444444 |
| Q1 | 75 |
| median | 77.77777778 |
| Q3 | 100 |
| 95-th percentile | 100 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 25 |
Descriptive statistics
| Standard deviation | 21.44728534 |
|---|---|
| Coefficient of variation (CV) | 0.2704391922 |
| Kurtosis | 1.142929158 |
| Mean | 79.30538902 |
| Median Absolute Deviation (MAD) | 22.22222222 |
| Skewness | -1.102926376 |
| Sum | 14219852.78 |
| Variance | 459.9860485 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 100 | 66268 | |
| 75 | 39181 | |
| 77.77777778 | 18011 | 8.0% |
| 88.88888889 | 13642 | 6.0% |
| 50 | 12495 | 5.5% |
| 66.66666667 | 10775 | 4.8% |
| 55.55555556 | 5581 | 2.5% |
| 44.44444444 | 4508 | 2.0% |
| 25 | 3170 | 1.4% |
| 33.33333333 | 2167 | 1.0% |
| Other values (3) | 3507 | 1.5% |
| (Missing) | 47232 |
| Value | Count | Frequency (%) |
| 0 | 1583 | 0.7% |
| 11.11111111 | 606 | 0.3% |
| 22.22222222 | 1318 | 0.6% |
| 25 | 3170 | 1.4% |
| 33.33333333 | 2167 | 1.0% |
| 44.44444444 | 4508 | 2.0% |
| 50 | 12495 | 5.5% |
| 55.55555556 | 5581 | 2.5% |
| 66.66666667 | 10775 | 4.8% |
| 75 | 39181 |
| Value | Count | Frequency (%) |
| 100 | 66268 | |
| 88.88888889 | 13642 | 6.0% |
| 77.77777778 | 18011 | 8.0% |
| 75 | 39181 | |
| 66.66666667 | 10775 | 4.8% |
| 55.55555556 | 5581 | 2.5% |
| 50 | 12495 | 5.5% |
| 44.44444444 | 4508 | 2.0% |
| 33.33333333 | 2167 | 1.0% |
| 25 | 3170 | 1.4% |
| Distinct | 13 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 46621 |
| Missing (%) | 20.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 88.91320579 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 4598 |
| Zeros (%) | 2.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 33.33333333 |
| Q1 | 88.88888889 |
| median | 100 |
| Q3 | 100 |
| 95-th percentile | 100 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 11.11111111 |
Descriptive statistics
| Standard deviation | 22.12768183 |
|---|---|
| Coefficient of variation (CV) | 0.2488683389 |
| Kurtosis | 6.159402156 |
| Mean | 88.91320579 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -2.509552242 |
| Sum | 15996908.33 |
| Variance | 489.6343031 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 100 | 124288 | |
| 75 | 17208 | 7.6% |
| 88.88888889 | 11702 | 5.2% |
| 77.77777778 | 7321 | 3.2% |
| 0 | 4598 | 2.0% |
| 50 | 4093 | 1.8% |
| 66.66666667 | 2952 | 1.3% |
| 25 | 2093 | 0.9% |
| 44.44444444 | 1566 | 0.7% |
| 55.55555556 | 1485 | 0.7% |
| Other values (3) | 2610 | 1.2% |
| (Missing) | 46621 | 20.6% |
| Value | Count | Frequency (%) |
| 0 | 4598 | 2.0% |
| 11.11111111 | 629 | 0.3% |
| 22.22222222 | 988 | 0.4% |
| 25 | 2093 | 0.9% |
| 33.33333333 | 993 | 0.4% |
| 44.44444444 | 1566 | 0.7% |
| 50 | 4093 | 1.8% |
| 55.55555556 | 1485 | 0.7% |
| 66.66666667 | 2952 | 1.3% |
| 75 | 17208 |
| Value | Count | Frequency (%) |
| 100 | 124288 | |
| 88.88888889 | 11702 | 5.2% |
| 77.77777778 | 7321 | 3.2% |
| 75 | 17208 | 7.6% |
| 66.66666667 | 2952 | 1.3% |
| 55.55555556 | 1485 | 0.7% |
| 50 | 4093 | 1.8% |
| 44.44444444 | 1566 | 0.7% |
| 33.33333333 | 993 | 0.4% |
| 25 | 2093 | 0.9% |
| Distinct | 13 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 45836 |
| Missing (%) | 20.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 80.26031646 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 6262 |
| Zeros (%) | 2.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 22.22222222 |
| Q1 | 75 |
| median | 100 |
| Q3 | 100 |
| 95-th percentile | 100 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 25 |
Descriptive statistics
| Standard deviation | 26.7383851 |
|---|---|
| Coefficient of variation (CV) | 0.3331457722 |
| Kurtosis | 1.385339091 |
| Mean | 80.26031646 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -1.454391955 |
| Sum | 14503119.44 |
| Variance | 714.941238 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 100 | 91346 | |
| 75 | 25485 | 11.2% |
| 77.77777778 | 12081 | 5.3% |
| 88.88888889 | 10341 | 4.6% |
| 50 | 9523 | 4.2% |
| 66.66666667 | 6876 | 3.0% |
| 0 | 6262 | 2.8% |
| 25 | 4450 | 2.0% |
| 55.55555556 | 4096 | 1.8% |
| 44.44444444 | 3937 | 1.7% |
| Other values (3) | 6304 | 2.8% |
| (Missing) | 45836 |
| Value | Count | Frequency (%) |
| 0 | 6262 | 2.8% |
| 11.11111111 | 1549 | 0.7% |
| 22.22222222 | 2316 | 1.0% |
| 25 | 4450 | 2.0% |
| 33.33333333 | 2439 | 1.1% |
| 44.44444444 | 3937 | 1.7% |
| 50 | 9523 | 4.2% |
| 55.55555556 | 4096 | 1.8% |
| 66.66666667 | 6876 | 3.0% |
| 75 | 25485 |
| Value | Count | Frequency (%) |
| 100 | 91346 | |
| 88.88888889 | 10341 | 4.6% |
| 77.77777778 | 12081 | 5.3% |
| 75 | 25485 | 11.2% |
| 66.66666667 | 6876 | 3.0% |
| 55.55555556 | 4096 | 1.8% |
| 50 | 9523 | 4.2% |
| 44.44444444 | 3937 | 1.7% |
| 33.33333333 | 2439 | 1.1% |
| 25 | 4450 | 2.0% |
| Distinct | 13 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 38474 |
| Missing (%) | 17.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 84.58338725 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 2040 |
| Zeros (%) | 0.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 50 |
| Q1 | 75 |
| median | 88.88888889 |
| Q3 | 100 |
| 95-th percentile | 100 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 25 |
Descriptive statistics
| Standard deviation | 19.58225893 |
|---|---|
| Coefficient of variation (CV) | 0.2315142438 |
| Kurtosis | 3.750400158 |
| Mean | 84.58338725 |
| Median Absolute Deviation (MAD) | 11.11111111 |
| Skewness | -1.725912029 |
| Sum | 15907005.56 |
| Variance | 383.4648649 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 100 | 87829 | |
| 75 | 37915 | |
| 88.88888889 | 20359 | 9.0% |
| 77.77777778 | 16801 | 7.4% |
| 50 | 7048 | 3.1% |
| 66.66666667 | 6768 | 3.0% |
| 55.55555556 | 2801 | 1.2% |
| 44.44444444 | 2196 | 1.0% |
| 0 | 2040 | 0.9% |
| 25 | 1869 | 0.8% |
| Other values (3) | 2437 | 1.1% |
| (Missing) | 38474 |
| Value | Count | Frequency (%) |
| 0 | 2040 | 0.9% |
| 11.11111111 | 475 | 0.2% |
| 22.22222222 | 915 | 0.4% |
| 25 | 1869 | 0.8% |
| 33.33333333 | 1047 | 0.5% |
| 44.44444444 | 2196 | 1.0% |
| 50 | 7048 | 3.1% |
| 55.55555556 | 2801 | 1.2% |
| 66.66666667 | 6768 | 3.0% |
| 75 | 37915 |
| Value | Count | Frequency (%) |
| 100 | 87829 | |
| 88.88888889 | 20359 | 9.0% |
| 77.77777778 | 16801 | 7.4% |
| 75 | 37915 | |
| 66.66666667 | 6768 | 3.0% |
| 55.55555556 | 2801 | 1.2% |
| 50 | 7048 | 3.1% |
| 44.44444444 | 2196 | 1.0% |
| 33.33333333 | 1047 | 0.5% |
| 25 | 1869 | 0.8% |
| Distinct | 13 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 15301 |
| Missing (%) | 6.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 73.89085352 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 6364 |
| Zeros (%) | 2.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 25 |
| Q1 | 50 |
| median | 75 |
| Q3 | 100 |
| 95-th percentile | 100 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 50 |
Descriptive statistics
| Standard deviation | 26.43170844 |
|---|---|
| Coefficient of variation (CV) | 0.3577128586 |
| Kurtosis | 0.2255697471 |
| Mean | 73.89085352 |
| Median Absolute Deviation (MAD) | 25 |
| Skewness | -0.9196123172 |
| Sum | 15608408.33 |
| Variance | 698.6352108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 100 | 75551 | |
| 75 | 45071 | |
| 50 | 25270 | 11.2% |
| 77.77777778 | 13293 | 5.9% |
| 66.66666667 | 10076 | 4.4% |
| 25 | 8402 | 3.7% |
| 88.88888889 | 7804 | 3.4% |
| 0 | 6364 | 2.8% |
| 55.55555556 | 6284 | 2.8% |
| 44.44444444 | 6253 | 2.8% |
| Other values (3) | 6868 | 3.0% |
| (Missing) | 15301 | 6.8% |
| Value | Count | Frequency (%) |
| 0 | 6364 | 2.8% |
| 11.11111111 | 1219 | 0.5% |
| 22.22222222 | 2588 | 1.1% |
| 25 | 8402 | 3.7% |
| 33.33333333 | 3061 | 1.4% |
| 44.44444444 | 6253 | 2.8% |
| 50 | 25270 | |
| 55.55555556 | 6284 | 2.8% |
| 66.66666667 | 10076 | 4.4% |
| 75 | 45071 |
| Value | Count | Frequency (%) |
| 100 | 75551 | |
| 88.88888889 | 7804 | 3.4% |
| 77.77777778 | 13293 | 5.9% |
| 75 | 45071 | |
| 66.66666667 | 10076 | 4.4% |
| 55.55555556 | 6284 | 2.8% |
| 50 | 25270 | 11.2% |
| 44.44444444 | 6253 | 2.8% |
| 33.33333333 | 3061 | 1.4% |
| 25 | 8402 | 3.7% |
| Distinct | 13 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 8190 |
| Missing (%) | 3.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 83.35784834 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 5237 |
| Zeros (%) | 2.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 25 |
| Q1 | 75 |
| median | 100 |
| Q3 | 100 |
| 95-th percentile | 100 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 25 |
Descriptive statistics
| Standard deviation | 23.89661238 |
|---|---|
| Coefficient of variation (CV) | 0.2866750145 |
| Kurtosis | 2.525530506 |
| Mean | 83.35784834 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -1.682809537 |
| Sum | 18200936.11 |
| Variance | 571.0480832 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 100 | 118187 | |
| 75 | 32842 | 14.5% |
| 77.77777778 | 14678 | 6.5% |
| 88.88888889 | 12666 | 5.6% |
| 50 | 10663 | 4.7% |
| 66.66666667 | 7748 | 3.4% |
| 0 | 5237 | 2.3% |
| 25 | 4365 | 1.9% |
| 55.55555556 | 3956 | 1.7% |
| 44.44444444 | 3745 | 1.7% |
| Other values (3) | 4260 | 1.9% |
| (Missing) | 8190 | 3.6% |
| Value | Count | Frequency (%) |
| 0 | 5237 | 2.3% |
| 11.11111111 | 840 | 0.4% |
| 22.22222222 | 1509 | 0.7% |
| 25 | 4365 | 1.9% |
| 33.33333333 | 1911 | 0.8% |
| 44.44444444 | 3745 | 1.7% |
| 50 | 10663 | 4.7% |
| 55.55555556 | 3956 | 1.7% |
| 66.66666667 | 7748 | 3.4% |
| 75 | 32842 |
| Value | Count | Frequency (%) |
| 100 | 118187 | |
| 88.88888889 | 12666 | 5.6% |
| 77.77777778 | 14678 | 6.5% |
| 75 | 32842 | 14.5% |
| 66.66666667 | 7748 | 3.4% |
| 55.55555556 | 3956 | 1.7% |
| 50 | 10663 | 4.7% |
| 44.44444444 | 3745 | 1.7% |
| 33.33333333 | 1911 | 0.8% |
| 25 | 4365 | 1.9% |
| Distinct | 13 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 54445 |
| Missing (%) | 24.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 90.68931476 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 405 |
| Zeros (%) | 0.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 66.66666667 |
| Q1 | 77.77777778 |
| median | 100 |
| Q3 | 100 |
| 95-th percentile | 100 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 22.22222222 |
Descriptive statistics
| Standard deviation | 14.74616729 |
|---|---|
| Coefficient of variation (CV) | 0.162600934 |
| Kurtosis | 5.606273125 |
| Mean | 90.68931476 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -2.017445543 |
| Sum | 15606905.56 |
| Variance | 217.4494496 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 100 | 107734 | |
| 75 | 23036 | 10.2% |
| 88.88888889 | 16983 | 7.5% |
| 77.77777778 | 12813 | 5.7% |
| 66.66666667 | 4225 | 1.9% |
| 50 | 3252 | 1.4% |
| 55.55555556 | 1485 | 0.7% |
| 44.44444444 | 943 | 0.4% |
| 25 | 586 | 0.3% |
| 0 | 405 | 0.2% |
| Other values (3) | 630 | 0.3% |
| (Missing) | 54445 |
| Value | Count | Frequency (%) |
| 0 | 405 | 0.2% |
| 11.11111111 | 106 | < 0.1% |
| 22.22222222 | 210 | 0.1% |
| 25 | 586 | 0.3% |
| 33.33333333 | 314 | 0.1% |
| 44.44444444 | 943 | 0.4% |
| 50 | 3252 | 1.4% |
| 55.55555556 | 1485 | 0.7% |
| 66.66666667 | 4225 | 1.9% |
| 75 | 23036 |
| Value | Count | Frequency (%) |
| 100 | 107734 | |
| 88.88888889 | 16983 | 7.5% |
| 77.77777778 | 12813 | 5.7% |
| 75 | 23036 | 10.2% |
| 66.66666667 | 4225 | 1.9% |
| 55.55555556 | 1485 | 0.7% |
| 50 | 3252 | 1.4% |
| 44.44444444 | 943 | 0.4% |
| 33.33333333 | 314 | 0.1% |
| 25 | 586 | 0.3% |
Auto
The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| df_index | wime_personal | wime_komfort | wime_sauberkeit | wime_puenktlich | wime_platzangebot | wime_gesamtzuf | wime_preis_leistung | wime_fahrplan | wime_oes_fahrt | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 226335 | NaN | 25.0 | 75.0 | 75.0 | 100.0 | 100.0 | 100.0 | 100.0 | 75.0 |
| 1 | 226400 | 75.0 | 75.0 | 50.0 | 100.0 | 50.0 | 75.0 | 50.0 | 75.0 | 100.0 |
| 2 | 226141 | NaN | NaN | NaN | NaN | NaN | NaN | 100.0 | 100.0 | NaN |
| 3 | 226748 | NaN | 25.0 | 75.0 | 75.0 | 75.0 | 75.0 | 75.0 | 75.0 | 100.0 |
| 4 | 226415 | NaN | 100.0 | 50.0 | 100.0 | 75.0 | 100.0 | 50.0 | 50.0 | 50.0 |
| 5 | 226408 | 75.0 | 75.0 | 75.0 | 100.0 | 75.0 | 75.0 | 25.0 | 50.0 | 100.0 |
| 6 | 226754 | 100.0 | 75.0 | 75.0 | 100.0 | 75.0 | 100.0 | 100.0 | 100.0 | 100.0 |
| 7 | 226404 | NaN | 75.0 | 75.0 | 50.0 | 100.0 | 100.0 | 75.0 | 75.0 | 75.0 |
| 8 | 226403 | 100.0 | 100.0 | 75.0 | NaN | 100.0 | 75.0 | 100.0 | 75.0 | NaN |
| 9 | 226760 | 75.0 | 100.0 | 100.0 | 100.0 | 100.0 | 75.0 | 75.0 | 75.0 | 100.0 |
Last rows
| df_index | wime_personal | wime_komfort | wime_sauberkeit | wime_puenktlich | wime_platzangebot | wime_gesamtzuf | wime_preis_leistung | wime_fahrplan | wime_oes_fahrt | |
|---|---|---|---|---|---|---|---|---|---|---|
| 226527 | 880 | 100.0 | 77.777778 | 55.555556 | 100.000000 | 100.000000 | 77.777778 | 77.777778 | 100.000000 | 100.000000 |
| 226528 | 881 | NaN | 100.000000 | 77.777778 | 100.000000 | 77.777778 | 88.888889 | 33.333333 | 44.444444 | 100.000000 |
| 226529 | 882 | NaN | 77.777778 | 66.666667 | 100.000000 | 66.666667 | 77.777778 | 88.888889 | 77.777778 | 77.777778 |
| 226530 | 883 | 100.0 | 88.888889 | 77.777778 | 100.000000 | 88.888889 | 88.888889 | 88.888889 | 88.888889 | 88.888889 |
| 226531 | 884 | NaN | 66.666667 | 100.000000 | 100.000000 | 100.000000 | 88.888889 | 66.666667 | 100.000000 | 100.000000 |
| 226532 | 885 | NaN | 100.000000 | 100.000000 | 100.000000 | 100.000000 | 100.000000 | 100.000000 | 100.000000 | 100.000000 |
| 226533 | 886 | 100.0 | 22.222222 | 55.555556 | 11.111111 | 0.000000 | 33.333333 | 0.000000 | 22.222222 | 44.444444 |
| 226534 | 887 | NaN | 77.777778 | 55.555556 | 100.000000 | 100.000000 | 77.777778 | 0.000000 | 100.000000 | 100.000000 |
| 226535 | 888 | NaN | 66.666667 | 77.777778 | 100.000000 | 66.666667 | 77.777778 | 55.555556 | 55.555556 | 66.666667 |
| 226536 | 913 | NaN | 100.000000 | 100.000000 | 88.888889 | 100.000000 | 88.888889 | 100.000000 | 100.000000 | 100.000000 |